ORLANDO, Fla. (Ivanhoe Newswire) – Our computers, devices, smart watches, video monitoring systems – we rely on connectivity to the internet and don't think twice about it. Now, scientists are developing technology for artificial intelligence that will allow it to work even in remote areas. Self-driving cars, drone helicopters, medical monitoring equipment – it's all cutting-edge technology that requires connection to the cloud. Now, researchers at the University of Central Florida are developing devices that won't rely on internet connection. "What we are trying to do is make small devices, which will mimic the neurons and synapses of the brain," researcher at the University of Central Florida, Tania Roy, PhD, explains.

The human brain has always been under study for inspiration of computing systems. Although there's a very long way to go until we can achieve a computing system that matches the efficiency of the human brain for cognitive tasks, several brain-inspired computing paradigms are being researched. Convolutional neural networks are a widely used machine learning approach for AI-related applications due to their significant performance relative to rules-based or symbolic approaches. Nonetheless, for many tasks machine learning requires vast amounts of data and training to converge to an acceptable level of performance. A Ph.D. student from Khalifa University, Eman Hasan, is investigating another AI computation methodology called'hyperdimensional computing," which can possibly take AI systems a step closer toward human-like cognition.